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2023, Vol: 14, Issue: 2
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Research Article 


A Novel Approach for Breast Cancer Detection and Classification with Transfer Learning

P. Visalatchi, Sasirekha*.

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    • Abstract
    Bosom malignant growth is a deadly infection that is liable for the passing of ladies everywhere. Bosom Malignant growth
    is recognized as the main worry for ladies deaths. There are different sorts of bosom disease. The proposed model talked
    about harmless and dangerous bosom disease. In PC supported analysis frameworks, the distinguishing proof and
    arrangement of bosom malignant growth utilizing histopathology and ultrasound pictures are basic advances. Deep learning
    (DL), machine learning (ML), and transfer learning (TL) strategies are utilized to address numerous clinical issues. The
    proposed approach is made to assist with the programmed recognizable proof and determination of bosom malignant
    growth. Our principal commitment is that the proposed model utilized the transfer learning strategy. The model utilized
    in this work is a tweaked CNN-AlexNet, which was prepared by the prerequisites of the datasets. This is likewise one of
    the commitments of this work.

    Key words: breast cancer, deep learning (DL), learning rate (LR),machine learning (ML), transfer learning (TL), convolutional neural network (CNN).


    		 
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    How to Cite this Article
    Pubmed Style

    Visalatchi P, Sasirekha . A Novel Approach for Breast Cancer Detection and Classification with Transfer Learning. J Complement Med Res. 2022; 13(5): 102-104. doi:10.5455/jcmr.2022.13.05.19

    Web Style

    Visalatchi P, Sasirekha . A Novel Approach for Breast Cancer Detection and Classification with Transfer Learning. https://www.jocmr.com/?mno=143798 [Access: May 26, 2023]. doi:10.5455/jcmr.2022.13.05.19

    AMA (American Medical Association) Style

    Visalatchi P, Sasirekha . A Novel Approach for Breast Cancer Detection and Classification with Transfer Learning. J Complement Med Res. 2022; 13(5): 102-104. doi:10.5455/jcmr.2022.13.05.19


    Vancouver/ICMJE Style

    Visalatchi P, Sasirekha . A Novel Approach for Breast Cancer Detection and Classification with Transfer Learning. J Complement Med Res. (2022), [cited May 26, 2023]; 13(5): 102-104. doi:10.5455/jcmr.2022.13.05.19


    Harvard Style

    Visalatchi, P. & Sasirekha, . (2022) A Novel Approach for Breast Cancer Detection and Classification with Transfer Learning. J Complement Med Res, 13 (5), 102-104. doi:10.5455/jcmr.2022.13.05.19


    Turabian Style

    Visalatchi, P., and Sasirekha. 2022. A Novel Approach for Breast Cancer Detection and Classification with Transfer Learning. Journal of Complementary Medicine Research, 13 (5), 102-104. doi:10.5455/jcmr.2022.13.05.19


    Chicago Style

    Visalatchi, P., and Sasirekha. "A Novel Approach for Breast Cancer Detection and Classification with Transfer Learning." Journal of Complementary Medicine Research 13 (2022), 102-104. doi:10.5455/jcmr.2022.13.05.19


    MLA (The Modern Language Association) Style

    Visalatchi, P., and Sasirekha. "A Novel Approach for Breast Cancer Detection and Classification with Transfer Learning." Journal of Complementary Medicine Research 13.5 (2022), 102-104. Print. doi:10.5455/jcmr.2022.13.05.19


    APA (American Psychological Association) Style

    Visalatchi, P. & Sasirekha, . (2022) A Novel Approach for Breast Cancer Detection and Classification with Transfer Learning. Journal of Complementary Medicine Research, 13 (5), 102-104. doi:10.5455/jcmr.2022.13.05.19


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